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https://github.com/crewAIInc/crewAI.git
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b7e4d074a5
- Remove unused imports and variables in test files - Replace bare except with specific exception in structured_output_converter.py - Fix None comparison in llm_test.py - Update agent.execute_task to accept recursion_depth parameter Resolves all remaining lint issues for A2A protocol implementation. Co-Authored-By: Joe Moura <joao@crewai.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import os
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import pytest
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@pytest.mark.skip(reason="Only run manually with valid API keys")
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def test_multimodal_agent_with_image_url():
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"""
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Test that a multimodal agent can process images without validation errors.
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This test reproduces the scenario from issue #2475.
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"""
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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if not OPENAI_API_KEY:
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pytest.skip("OPENAI_API_KEY environment variable not set")
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# model="openai/gpt-4o", # model with vision capabilities
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# api_key=OPENAI_API_KEY,
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# temperature=0.7
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# )
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# role="Visual Quality Inspector",
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# goal="Perform detailed quality analysis of product images",
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# backstory="Senior quality control expert with expertise in visual inspection",
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# llm=llm,
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# verbose=True,
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# allow_delegation=False,
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# multimodal=True
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# )
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# description="""
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# Analyze the product image at https://www.us.maguireshoes.com/collections/spring-25/products/lucena-black-boot with focus on:
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# 1. Quality of materials
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# 2. Manufacturing defects
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# 3. Compliance with standards
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# Provide a detailed report highlighting any issues found.
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# """,
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# expected_output="A detailed report highlighting any issues found",
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# agent=None # Would reference the agent if test was active
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# )
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# This test is skipped, so we don't need to create or run a Crew
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